Követés
Pengyu Wang
Pengyu Wang
E-mail megerősítve itt: sjtu.edu.cn
Cím
Hivatkozott rá
Hivatkozott rá
Év
Grus: Toward unified-memory-efficient high-performance graph processing on gpu
P Wang, J Wang, C Li, J Wang, H Zhu, M Guo
ACM Transactions on Architecture and Code Optimization (TACO) 18 (2), 1-25, 2021
322021
Excavating the potential of GPU for accelerating graph traversal
P Wang, L Zhang, C Li, M Guo
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
182019
Tapping into nfv environment for opportunistic serverless edge function deployment
L Zhang, W Feng, C Li, X Hou, P Wang, J Wang, M Guo
IEEE Transactions on Computers 71 (10), 2698-2704, 2021
152021
Skywalker: Efficient alias-method-based graph sampling and random walk on gpus
P Wang, C Li, J Wang, T Wang, L Zhang, J Leng, Q Chen, M Guo
2021 30th International Conference on Parallel Architectures and Compilation …, 2021
152021
Characterizing and orchestrating NFV-ready servers for efficient edge data processing
L Zhang, C Li, P Wang, Y Liu, Y Hu, Q Chen, M Guo
Proceedings of the international symposium on quality of service, 1-10, 2019
142019
Oversubscribing gpu unified virtual memory: Implications and suggestions
C Shao, J Guo, P Wang, J Wang, C Li, M Guo
Proceedings of the 2022 ACM/SPEC on International Conference on Performance …, 2022
122022
PSL: exploiting parallelism, sparsity and locality to accelerate matrix factorization on x86 platforms
W Deng, P Wang, J Wang, C Li, M Guo
International Symposium on Benchmarking, Measuring and Optimization, 101-109, 2019
112019
Performance of training sparse deep neural networks on GPUs
J Wang, Z Huang, L Kong, J Xiao, P Wang, L Zhang, C Li
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-5, 2019
112019
Excavating the potential of graph workload on rdma-based far memory architecture
J Wang, C Li, T Wang, L Zhang, P Wang, J Mei, M Guo
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
72022
ACE-GCN: A Fast data-driven FPGA accelerator for GCN embedding
J Romero Hung, C Li, P Wang, C Shao, J Guo, J Wang, G Shi
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 14 (4), 1-23, 2021
72021
Memory system optimization for graph processing: A survey
J Wang, L Zhang, PY Wang, J XU, C LI, H ZHU, X QIAN, M GUO
Scientia Sinica Informationis 49 (3), 295-313, 2019
52019
Dragon: dynamic recurrent accelerator for graph online convolution
J Romero Hung, C Li, T Wang, J Guo, P Wang, C Shao, J Wang, G Shi, ...
ACM Transactions on Design Automation of Electronic Systems 28 (1), 1-27, 2023
42023
Fargraph+: Excavating the parallelism of graph processing workload on RDMA-based far memory system
J Wang, C Li, Y Liu, T Wang, J Mei, L Zhang, P Wang, M Guo
Journal of Parallel and Distributed Computing 177, 144-159, 2023
22023
Optimizing GPU-Based Graph Sampling and Random Walk for Efficiency and Scalability
P Wang, C Xu, C Li, J Wang, T Wang, L Zhang, X Hou, M Guo
IEEE Transactions on Computers 72 (9), 2508-2521, 2023
22023
面向图计算的内存系统优化技术综述
王靖, 张路, 王鹏宇, 徐嘉鸿, 李超, 朱浩瑾, 钱学海, 过敏意
中国科学: 信息科学 49 (3), 295-313, 2019
22019
HyFarM: Task Orchestration on Hybrid Far Memory for High Performance Per Bit
J Wang, C Li, J Mei, H He, T Wang, P Wang, L Zhang, M Guo, H Wu, ...
2022 IEEE 40th International Conference on Computer Design (ICCD), 33-41, 2022
12022
Graph sampling and random walk acceleration method and system on GPU
C Li, P Wang, J Wang, H Zhu, M Guo
US Patent 11,875,426, 2024
2024
Adaptive unified memory management method and system for large-scale graphs
C Li, P Wang, S Chuanming, J Wang, J Guo, H Zhu, M Guo
US Patent App. 18/040,905, 2023
2023
High-Throughput GPU Random Walk with Fine-Tuned Concurrent Query Processing
C Xu, C Li, P Wang, X Hou, J Wang, S Sun, M Guo, H Wu, D Chen, X Liu
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023
2023
GreenCom 2023
N Arshad, M Brocanelli, Q Chen, T Hoefler, X Hou, X Hou, Y Jiang, C Li, ...
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